Difference imaging photometry of blended gravitational microlensing events with a numerical kernel

Albrow, MD; Horne, K; Bramich, DM; Fouque, P; Miller, VR; Beaulieu, JP; Coutures, C; Menzies, J; Williams, A; Batista, V; Bennett, DP; Brilliant, S; Cassan, A; Dieters, S; Dominis Prester, D; Donatowicz, J; Greenhill, JG; Kains, N; Kane, SR; Kubas, D; Marquette, JB; Pollard, KR; Sahu, KC; Tsapras, Y; Wambsganss, J; Zub, M

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Difference imaging photometry of blended gravitational microlensing events with a numerical kernel

Citation

Albrow, MD and Horne, K and Bramich, DM and Fouque, P and Miller, VR and Beaulieu, JP and Coutures, C and Menzies, J and Williams, A and Batista, V and Bennett, DP and Brilliant, S and Cassan, A and Dieters, S and Dominis Prester, D and Donatowicz, J and Greenhill, JG and Kains, N and Kane, SR and Kubas, D and Marquette, JB and Pollard, KR and Sahu, KC and Tsapras, Y and Wambsganss, J and Zub, M, Difference imaging photometry of blended gravitational microlensing events with a numerical kernel, Monthly Notices of the Royal Astronomical Society, 397, (4) pp. 2099-2105. ISSN 0035-8711 (2009) [Refereed Article]

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The definitive published version is available online at: http://interscience.wiley.com

Official URL: http://interscience.wiley.com

DOI: doi:10.1111/j.1365-2966.2009.15098.x

Abstract

The numerical kernel approach to difference imaging has been implemented and applied to gravitational microlensing events observed by the PLANET collaboration. The effect of an error in the source-star coordinates is explored and a new algorithm is presented for determining the precise coordinates of the microlens in blended events, essential for accurate photometry of difference images. It is shown how the photometric reference flux need not be measured directly from the reference image but can be obtained from measurements of the difference images combined with the knowledge of the statistical flux uncertainties. The improved performance of the new algorithm, relative to isis2, is demonstrated.

Item Details

Item Type:	Refereed Article
Keywords:	methods:statistical-techniques:image processing-techniques:photometric
Research Division:	Physical Sciences
Research Group:	Astronomical and Space Sciences
Research Field:	Galactic Astronomy
Objective Division:	Expanding Knowledge
Objective Group:	Expanding Knowledge
Objective Field:	Expanding Knowledge in the Physical Sciences
UTAS Author:	Greenhill, JG (Dr John Greenhill)
ID Code:	57669
Year Published:	2009
Web of Science^® Times Cited:	92
Deposited By:	Physics
Deposited On:	2009-08-06
Last Modified:	2010-03-25
Downloads:	0

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